<?xml version="1.0"?>
<doc>
    <assembly>
        <name>ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical</name>
    </assembly>
    <members>
        <member name="T:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators">
            <summary>
            Contains a variety of functions to be used within Calc for performing statistical calculations on data.
            </summary>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Anova(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            ANalysis Of VAriance, useful for comparing the means between 2 or more series.
            </summary>
            <example>
            [Calc]
            <para><c>Set1.ValuesOf(Column1).Anova(Series1=Set2.ValuesOf(Column1), Series2=Set3.ValuesOf(Column1));</c></para>
            </example>
            <remarks>
            Applying Anova to two identical series should result in the sum of squares between 
            treatments and mean square between treatments to be zero.  Thus the F critical will 
            also be zero.
            <para>Each series to compare to should be assigned to Series1, Series2, etc.</para>
            </remarks>
            <returns>
            An Anova object, which contains the following values: Correction mean, sum of 
            squares error, total and treatment, degrees of freedom error, total and treatment, the 
            mean of the treatments and error, and the F critical factor, which is the variance 
            between the items divided by the variance within the items.
            </returns>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Correlation(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            A measure of the dependence between two series of values.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Correlation(Set2.ValuesOf(Column1));</c>
            </example>
            <remarks>
            Comparing a series against itself will result in a Correlation of 1, whereas 
            comparing against a completely opposite series (a perfect decreasing (negative) linear
            relationship) will result in a Correlation of -1.
            </remarks>
            <returns>A double between 1 and -1.</returns>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Covariance(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            A measure of how much two series change together.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Covariance(Set2.ValuesOf(Column1));</c>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Max(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            Returns the highest value in a series of values, or series of expressions.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Max();</c>
            <para><c>Set1.Max(Column1);</c></para>
            <para><c>Set1.Max(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Mean(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            Returns the arithmetic mean -- the sum of the values (or expression results) 
            divided by the number of values.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Mean();</c>
            <para><c>Set1.Mean(Column1);</c></para>
            <para><c>Set1.Mean(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Median(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            The middle value in an ordered list of values, or a series of expressions.
            If there is an even number of values, the mean is the mean of the two middle values.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Median();</c>
            <para><c>Set1.Median(Column1);</c></para>
            <para><c>Set1.Median(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Min(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            Returns the lowest value in a series of values, or a series of expressions.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Min();</c>
            <para><c>Set1.Min(Column1);</c></para>
            <para><c>Set1.Min(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Range(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            Returns the difference between the lowest and highest values in a series of values,
            or a series of expressions.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Range();</c>
            <para><c>Set1.Range(Column1);</c></para>
            <para><c>Set1.Range(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.StandardDeviationEstimated(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            Standard deviation (square root of the variance) on a series of values representing an 
            incomplete part of a population.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).StandardDeviationEstimated();</c>
            <para><c>Set1.StandardDeviationEstimated(Column1);</c></para>
            <para><c>Set1.StandardDeviationEstimated(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.StandardDeviationPopulation(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            Standard deviation (square root of the variance) on a series of values representing
            the entire population.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).StandardDeviationPopulation();</c>
            <para><c>Set1.StandardDeviationPopulation(Column1);</c></para>
            <para><c>Set1.StandardDeviationPopulation(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.Sum(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            The total of all values (or expression results) in the series.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).Sum();</c>
            <para><c>Set1.Sum(Column1);</c></para>
            <para><c>Set1.Sum(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.VarianceEstimated(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            An indication of how far values of a series lie from the mean of that series, where
            the set of data supplied is a subset of a population.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).VarianceEstimated();</c>
            <para><c>Set1.VarianceEstimated(Column1);</c></para>
            <para><c>Set1.VarianceEstimated(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="M:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.CustomOperators.VariancePopulation(ComponentArt.Silverlight.DataVisualization.CalcEngine.ExpressionEvaluator,System.Collections.IEnumerable,System.Object)">
            <summary>
            An indication of how far values of a series lie from the mean of that series, where
            the set of data supplied is the complete set of values in a population.
            </summary>
            <example>
            <c>Set1.ValuesOf(Column1).VariancePopulation();</c>
            <para><c>Set1.VariancePopulation(Column1);</c></para>
            <para><c>Set1.VariancePopulation(Column1 + Column3);</c></para>
            </example>
        </member>
        <member name="T:ComponentArt.Silverlight.DataVisualization.CalcExtensions.Statistical.Anova">
            <summary>
            Class used to return the results of an Anova Statistical CalcExtension calculation.
            </summary>
        </member>
    </members>
</doc>
